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Exploring stop-go decision zones at rural high-speed intersections with flashing green signal and insufficient yellow time in China

机译:在中国的绿色信号闪烁且黄色时间不足的情况下探索农村高速路口的停走决策区域

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摘要

The objective of this study is to empirically analyze and model the stop-go decision behavior of drivers at rural high-speed intersections in China, where a flashing green signal of 3 s followed by a yellow signal of 3 s is commonly applied to end a green phase. 1, 186 high-resolution vehicle trajectories were collected at four typical high-speed intersection approaches in Shanghai and used for the identification of actual stop-go decision zones and the modeling of stop-go decision behavior. Results indicate that the presence of flashing green significantly changed the theoretical decision zones based on the conventional Dilemma Zone theory. The actual stop-go decision zones at the study intersections were thus formulated and identified based on the empirical data. Binary Logistic model and Fuzzy Logic model were then developed to further explore the impacts of flashing green on the stop-go behavior of drivers. It was found that the Fuzzy Logic model could produce comparably good estimation results as compared to the traditional Binary Logistic models. The findings of this study could contribute the development of effective dilemma zone protection strategies, the improvement of stop-go decision model embedded in the microscopic traffic simulation software and the proper design of signal change and clearance intervals at high-speed intersections in China. (C) 2016 Elsevier Ltd. All rights reserved.
机译:这项研究的目的是对中国农村高速路口的驾驶员的走走停停决策行为进行经验分析和建模,在这种情况下,通常以3 s的绿色闪烁信号和3 s的黄色信号闪烁来结束路标。绿相。在上海四种典型的高速交叉路口,共收集了186条高分辨率的车辆轨迹,用于识别实际的停车决策区域和建模决策行为。结果表明,闪烁的绿色的存在大大改变了基于传统困境区理论的理论决策区。因此,根据经验数据制定并确定了研究交叉口的实际停驶决策区域。然后开发了二进制逻辑模型和模糊逻辑模型,以进一步探索闪烁的绿色对驾驶员的走走停停行为的影响。发现与传统的二进制逻辑模型相比,模糊逻辑模型可以产生相当好的估计结果。这项研究的结果可能有助于开发有效的困境区保护策略,改善嵌入在微观交通仿真软件中的停走决策模型,并为中国高速路口的信号变化和通行间隔的正确设计做出贡献。 (C)2016 Elsevier Ltd.保留所有权利。

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